fix pre-commit issues

Author: hesamsheikh

camel/benchmarks/browsecomp.py

@@ -55,7 +55,7 @@ class QueryResponse(BaseModel):
     )
     exact_answer: str = Field(description="""your succinct, final answer.""")
     confidence: str = Field(
-        description="""
+        description=r"""
 your confidence score between 0|\%| and 100|\%| for your answer.
 """
     )
@@ -92,7 +92,7 @@ class GradingResponse(BaseModel):
 incorrect."""
     )
     confidence: str = Field(
-        description="""The extracted confidence score between 0|\%| 
+        description=r"""The extracted confidence score between 0|\%|
 and 100|\%| from [response]. Put 100 if there is no confidence score available.
 """
     )
@@ -160,8 +160,8 @@ class EvalResult(BaseModel):
 {content}
 """
 
-GRADER_TEMPLATE = """
-Judge whether the following [response] to [question] is correct or not 
+GRADER_TEMPLATE = r"""
+Judge whether the following [response] to [question] is correct or not
 based on the precise and unambiguous [correct_answer] below.
 
 [question]: {question}
@@ -171,26 +171,26 @@ class EvalResult(BaseModel):
 Your judgement must be in the format and criteria specified below:
 
 extracted_final_answer: The final exact answer extracted from the [response].
-Put the extracted answer as 'None' if there is no exact, final answer to 
+Put the extracted answer as 'None' if there is no exact, final answer to
 extract from the response.
 
 [correct_answer]: {correct_answer}
 
-reasoning: Explain why the extracted_final_answer is correct or incorrect 
-based on [correct_answer], focusing only on if there are meaningful 
-differences between [correct_answer] and the extracted_final_answer. 
-Do not comment on any background to the problem, do not attempt 
-to solve the problem, do not argue for any answer different 
+reasoning: Explain why the extracted_final_answer is correct or incorrect
+based on [correct_answer], focusing only on if there are meaningful
+differences between [correct_answer] and the extracted_final_answer.
+Do not comment on any background to the problem, do not attempt
+to solve the problem, do not argue for any answer different
 than [correct_answer], focus only on whether the answers match.
 
-correct: Answer 'yes' if extracted_final_answer matches the 
-[correct_answer] given above, or is within a small margin of error for 
-numerical problems. Answer 'no' otherwise, i.e. if there is any 
-inconsistency, ambiguity, non-equivalency, or if the extracted answer is 
+correct: Answer 'yes' if extracted_final_answer matches the
+[correct_answer] given above, or is within a small margin of error for
+numerical problems. Answer 'no' otherwise, i.e. if there is any
+inconsistency, ambiguity, non-equivalency, or if the extracted answer is
 incorrect.
 
 
-confidence: The extracted confidence score between 0|\%| and 100|\%| 
+confidence: The extracted confidence score between 0|\%| and 100|\%|
 from [response]. Put 100 if there is no confidence score available.
 """.strip()
 

camel/storages/vectordb_storages/qdrant.py

@@ -309,7 +309,7 @@ def update_payload(
         op_info = self._client.set_payload(
             collection_name=self.collection_name,
             payload=payload,
-            points=PointIdsList(points=points),
+            points=PointIdsList(points=points),  # type: ignore[arg-type]
             **kwargs,
         )
         if op_info.status != UpdateStatus.COMPLETED:
@@ -376,7 +376,7 @@ def delete(
             op_info = self._client.delete(
                 collection_name=self.collection_name,
                 points_selector=PointIdsList(
-                    points=cast(List[Union[int, str, UUID]], ids)
+                    points=cast(List[Union[int, str, UUID]], ids)  # type: ignore[arg-type]
                 ),
                 **kwargs,
             )

camel/storages/vectordb_storages/tidb.py

@@ -107,7 +107,7 @@ def _create_client(
         )
 
     def _get_table_model(self, collection_name: str) -> Any:
-        from pytidb.datatype import JSON
+        from pytidb.datatype import JSON  # type: ignore[import-not-found]
         from pytidb.schema import Field, TableModel, VectorField
 
         class VectorDBRecordBase(TableModel, table=False):
@@ -130,7 +130,8 @@ def _open_and_create_table(self) -> "Table[Any]":
         if table is None:
             table_model = self._get_table_model(self.collection_name)
             table = self._client.create_table(
-                schema=table_model, if_exists="skip"
+                schema=table_model,
+                if_exists="skip",  # type: ignore[call-arg]
             )
         return table